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Article

A Collaborative Filtering Recommendation Algorithm with Improved Similarity Calculation

In order to improve the accuracy of the proposed algorithm in collaborative filtering recommendation system, an Improved Pearson collaborative filtering (IP-CF) algorithm is proposed in this paper. The algorithm uses the user portrait, item characteristics and data of user behavior to compute the baseline predictors model. Instead of the traditional algorithm’s similarity calculation, the prediction model is used to improve the accuracy of the recommendation algorithm. Experimental results on

Yang Ju, Liu Bailin, Zhixiang Zhao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 97–100

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